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电力信息物理系统脆弱性评估分析

Vulnerability assessment and analysis of cyber-physical power system

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电网与通信系统之间的强耦合可能会引起级联故障传播,造成大规模停电.为了定量分析相互依赖关系对电力系统脆弱性的影响,对电力信息物理系统(CPPS)进行建模.利用人工信息网络和IEEE 118 总线系统建立相依模型,分别基于"度数-介数""度数-电气度数"和"随机耦合"3 种相互依赖模型,评估和比较CPPS在随机攻击和恶意攻击下的系统脆弱性.仿真结果表明:不同的连接模式、耦合程度和攻击类型都可以影响CPPS的脆弱性;具有"度数-电气度数"相互依赖模型的CPPS在面对随机攻击时表现出更高的鲁棒性,而且在遭受恶意攻击时,其性能要优于其他相互依赖模型.
The strong coupling between the power grid and the communication system may cause cascade fault propagation,leading to large-scale power outages.In order to quantitatively analyze the influence of interdependence on the vulnerability of power systems,the cyber-physical power system(CPPS)is modeled.This paper establishes a dependency model using artificial information networks and IEEE 118 bus systems and evaluates and compares the system vulnerability of CPPS under random and malicious attacks based on three interdependent models:degree-betweenness,degree-electrical degree,and random link.The sim-ulation results show that different connection modes,coupling degrees,and attack types can affect the vulnerability of CPPS,while CPPS with a"degree-electrical degree"interdependence model shows higher robustness in the face of random attacks,and its performance is better than other interdependent models when subjected to malicious attacks.

coupling modelcascade failurecyber-physical power systemrobustness

周迎迎、仝战营、申浩

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河南工学院电气工程与自动化学院,河南 新乡 453003

国网河南省电力公司,河南 郑州 450052

耦合模型 级联故障 电力信息物理系统 鲁棒性

2024

技术与市场
四川省科技信息研究所

技术与市场

影响因子:0.566
ISSN:1006-8554
年,卷(期):2024.31(9)
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